Tactile controller using fuzzy logic for robot inhand manipulation

Vlad Ciobanu, N. Popescu
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引用次数: 3

Abstract

Autonomous manipulation is one the the most complex fields of humanoid robotics research, because it involves several domains such as: object recognition, object tracking, manipulator positioning, grasping, etc. In this paper a tactile controller based on fuzzy logic is proposed, capable of complex inhand manipulation tasks. This fuzzy logic approach assures finger motion smoothness by dealing with sensor nonlinearities and uncertainties, thus reducing the need of knowing the object dimensions or exact position in relation to the robot hand.
采用模糊逻辑的触觉控制器实现机器人的手部操作
自主操作是仿人机器人研究中最复杂的领域之一,涉及到物体识别、物体跟踪、机械手定位、抓取等多个领域。本文提出了一种基于模糊逻辑的触觉控制器,能够完成复杂的手部操作任务。这种模糊逻辑方法通过处理传感器的非线性和不确定性来保证手指运动的平滑性,从而减少了对物体尺寸或相对于机器人手的精确位置的需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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